ArticleScientific reports2023
Systems biology approaches to identify potential targets and inhibitors of the intestinal microbiota to treat depression.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 8 citations in OpenAlex.
- Computational biological analysis reveals that HIF-1 and FoxO signaling pathways influence cognitive impairment in patients with depression.Translational psychiatry · 2025Article
- Exploring bacterial metabolites in microbe-human host dialogue and their therapeutic potential in Alzheimer's diseases.Molecular diversity · 2025Article
- Dissecting the genetic overlap between severe mental disorders and markers of cellular aging: Identification of pleiotropic genes and druggable targets.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
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Authors and funding
9 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Depression is a common mental disease, with some patients exhibiting ideas and behaviors such as self-harm and suicide. The drugs currently used to treat depression have not achieved good results. It has been reported that metabolites produced by intestinal microbiota affect the development of depression. In this study, core targets and core compounds were screened by specific algorithms in the database, and three-dimensional structures of these compounds and proteins were simulated by molecular docking and molecular dynamics software to further study the influence of intestinal microbiota metabolites on the pathogenesis of depression. By analyzing the RMSD gyration radius and RMSF, it was finally determined that NR1H4 had the best binding effect with genistein. Finally, according to Lipinski's five rules, equol, genistein, quercetin and glycocholic acid were identified as effective drugs for the treatment of depression. In conclusion, the intestinal microbiota can affect the development of depression through the metabolites equol, genistein and quercetin, which act on the critical targets of DPP4, CYP3A4, EP300, MGAM and NR1H4.
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